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Oral
Thu Jul 12th 04:00 -- 04:20 PM @ A4
Variational Bayesian dropout: pitfalls and fixes
Jiri Hron · Alexander Matthews · Zoubin Ghahramani
Oral
Thu Jul 12th 04:20 -- 04:30 PM @ A4
Accurate Uncertainties for Deep Learning Using Calibrated Regression
Volodymyr Kuleshov · Nathan Fenner · Stefano Ermon
Oral
Thu Jul 12th 04:30 -- 04:40 PM @ A4
Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning
Stefan Depeweg · Jose Hernandez-Lobato · Finale Doshi-Velez · Steffen Udluft
Oral
Thu Jul 12th 04:40 -- 04:50 PM @ A4
Scalable approximate Bayesian inference for particle tracking data
Ruoxi Sun · Department of Statistics Liam Paninski
Oral
Thu Jul 12th 04:50 -- 05:00 PM @ A4
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Mohammad Emtiyaz Khan · Didrik Nielsen · Voot Tangkaratt · Wu Lin · Yarin Gal · Akash Srivastava